Gases identification with Support Vector Machines technique (SVMs)

Air pollution is an olfactory pollution because many polluting gases have a strong odor even at low concentrations. These pollutants are natural or anthropogenic emission sources. This pollution has many harmful effects on human health or upon the environment. So it is necessary to detect the pollution to reduce its effects. An electronic nose is capable of detecting the presence of gas after learning. The artificial nose consists of an array of chemical sensors and an electronic system capable of recognizing patterns odors simple and complex. The performance of a sensor network is discussed by using pattern recognition methods. These methods can be supervised methods or unsupervised. Support Vector Machines SVMs is a supervised learning algorithm. In this article, we tested SVM based on kernel functions to evaluate the ability of our sensor array to distinguish between different groups of gases.